Journals in DBLP

Journal of Machine Learning Research
2001, volume: 2, number:

1. Shahar Mendelson
   On the Size of Convex Hulls of Small Sets. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:2, n:, pp:1-18 [Journal]
   
2. Istvan Jonyer, Diane J. Cook, Lawrence B. Holder
   Graph-Based Hierarchical Conceptual Clustering. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:2, n:, pp:19-43 [Journal]
   
3. Simon Tong, Daphne Koller
   Support Vector Machine Active Learning with Applications to Text Classification. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:2, n:, pp:45-66 [Journal]
   
4. Ingo Steinwart
   On the Influence of the Kernel on the Consistency of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:2, n:, pp:67-93 [Journal]
   
5. Roman Rosipal, Leonard J. Trejo
   Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:2, n:, pp:97-123 [Journal]
   
6. Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik
   Support Vector Clustering. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:2, n:, pp:125-137 [Journal]
   
7. Larry M. Manevitz, Malik Yousef
   One-Class SVMs for Document Classification. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:2, n:, pp:139-154 [Journal]
   
8. David M. J. Tax, Robert P. W. Duin
   Uniform Object Generation for Optimizing One-class Classifiers. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:2, n:, pp:155-173 [Journal]
   
9. Elzbieta Pekalska, Pavel Paclík, Robert P. W. Duin
   A Generalized Kernel Approach to Dissimilarity-based Classification. [Citation Graph (0, 0)][DBLP]
   Journal of Machine Learning Research, 2001, v:2, n:, pp:175-211 [Journal]
   
10. Claudio Gentile
    A New Approximate Maximal Margin Classification Algorithm. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:213-242 [Journal]
    
11. Shai Fine, Katya Scheinberg
    Efficient SVM Training Using Low-Rank Kernel Representations. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:243-264 [Journal]
    
12. Koby Crammer, Yoram Singer
    On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:265-292 [Journal]
    
13. Tom Downs, Kevin E. Gates, Annette Masters
    Exact Simplification of Support Vector Solutions. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:293-297 [Journal]
    
14. Marc G. Genton
    Classes of Kernels for Machine Learning: A Statistics Perspective. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2001, v:2, n:, pp:299-312 [Journal]